Application of metaheuristic algorithms in DC-optimal power flow-Reference-Cited by-同舟云学术

Application of metaheuristic algorithms in DC-optimal power flow

Published:2020-03-18 Issue:7 Volume:12 Page:867-872
ISSN:2042-1338
Container-title:African Journal of Science, Technology, Innovation and Development
language:en
Short-container-title:African Journal of Science, Technology, Innovation and Development

Author:

Ajayi Oluwafemi¹^ORCID,Nwulu Nnamdi¹^ORCID,Damisa Uyikumhe¹

Affiliation:

1. Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa

Publisher

Informa UK Limited

Subject

Computer Networks and Communications,Computer Science Applications,Development,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/20421338.2020.1726084

Reference34 articles.

1. Ajayi, O. 2019. “DC OPTIMAL POWER FLOW: A Comparative Study of a Classical Optimization Method and Metaheuristic Solution Algorithms.” Master of Engineering (MENG). University of Johannesburg.

2. The Integration of Artificial Neural Networks and Particle Swarm Optimization to Forecast World Green Energy Consumption

3. Optimal Power Flow Using Adapted Genetic Algorithm with Adjusting Population Size

4. Optimal power flow using Teaching-Learning-Based Optimization technique

5. Optimal power flow using an Improved Colliding Bodies Optimization algorithm

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